Arago Biosciences is specializing in label-free single molecule imaging and mass measurement. Backed by Oxford Science Enterprises.
About the role
Mass photometry — a technique developed at the University of Oxford for measuring the mass of individual particles in solution with a specialised microscope — is at the heart of what Refeyn does. Since spinning out in 2017, we've grown mass photometry from an academic breakthrough into a technology now widely used in biological research and increasingly adopted across the bioprocessing industry to develop and characterise drugs. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Python (OOP), plus Rust or C++, and modern development practices
- GUI development experience (Qt, PySide6, QtQuick/QML) and a good eye for usability
- Familiarity with scientific computing and machine learning — NumPy, SciPy, Jupyter, PyTorch, Matplotlib
- Knowledge of CI/CD (e.g. GitHub Actions) and version control with Git
- Experience with Jira and Confluence in a hybrid agile/waterfall environment
- Familiarity with testing and code-quality tools such as pytest, mypy, and pylint
More about this role
Mass photometry — a technique developed at the University of Oxford for measuring the mass of individual particles in solution with a specialised microscope — is at the heart of what Refeyn does. Since spinning out in 2017, we've grown mass photometry from an academic breakthrough into a technology now widely used in biological research and increasingly adopted across the bioprocessing industry to develop and characterise drugs.
Join Refeyn's 10-person software team building the applications behind our mass photometry instruments — from instrument control and automation to data analysis, visualisation, and reporting. You'll work across the full development lifecycle, closely with product, UX/UI, and the wider R&D team.
- Support the full software development lifecycle: planning, design, development, testing, deployment, and continuous improvement.
- Build and enhance:
desktop and embedded user interfaces that are highly usable and tightly integrated with system and device logic
- automated instrument control, calibration routines, and failure-mode detection
- tools for analysing measurement data and interpreting results statistically
- Investigate, debug, and resolve complex...
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